Abstract

Recent evidence shows that carbon emissions in China are likely to peak ahead of 2030. However, the social and economic impacts of such an early carbon peak have rarely been assessed. Here we focus on the economic costs and health benefits of different carbon mitigation pathways, considering both possible socio-economic futures and varying ambitions of climate policies. We find that an early peak before 2030 in line with the 1.5 °C target could avoid ~118,000 and ~614,000 PM2.5 attributable deaths under the Shared Socioeconomic Pathway 1, in 2030 and 2050, respectively. Under the 2 °C target, carbon mitigation costs could be more than offset by health co-benefits in 2050, bringing a net benefit of $393–$3,017 billion (in 2017 USD value). This study not only provides insight into potential health benefits of an early peak in China, but also suggests that similar benefits may result from more ambitious climate targets in other countries.

Understanding benefits of carbon mitigation is an important impetus for governments to adopt more ambitious climate targets. Here, the authors show positive air quality and health co-benefits are possible if China’s CO2 emissions peak before 2030.

Details

Title
Air quality and health co-benefits of China’s carbon dioxide emissions peaking before 2030
Author
Tang, Rong 1   VIAFID ORCID Logo  ; Zhao, Jing 2 ; Liu, Yifan 3 ; Huang, Xin 4   VIAFID ORCID Logo  ; Zhang Yanxu 1   VIAFID ORCID Logo  ; Zhou Derong 4 ; Ding Aijun 5   VIAFID ORCID Logo  ; Nielsen, Chris P 6   VIAFID ORCID Logo  ; Wang, Haikun 5   VIAFID ORCID Logo 

 Nanjing University, Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing, China (GRID:grid.41156.37) (ISNI:0000 0001 2314 964X) 
 Nanjing University, State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing, China (GRID:grid.41156.37) (ISNI:0000 0001 2314 964X); Chinese Academy of Environmental Planning, State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation, Beijing, China (GRID:grid.464275.6) (ISNI:0000 0001 1998 1150) 
 Nanjing University, State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing, China (GRID:grid.41156.37) (ISNI:0000 0001 2314 964X) 
 Nanjing University, Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing, China (GRID:grid.41156.37) (ISNI:0000 0001 2314 964X); Collaborative Innovation Center of Climate Change, Jiangsu Province, Nanjing, China (GRID:grid.41156.37) (ISNI:0000 0001 2314 964X) 
 Nanjing University, Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing, China (GRID:grid.41156.37) (ISNI:0000 0001 2314 964X); Collaborative Innovation Center of Climate Change, Jiangsu Province, Nanjing, China (GRID:grid.41156.37) (ISNI:0000 0001 2314 964X); Nanjing University, Frontiers Science Center for Critical Earth Material Cycling, Nanjing, PR China (GRID:grid.41156.37) (ISNI:0000 0001 2314 964X) 
 Harvard University, Harvard-China Project on Energy, Economy and Environment, Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, USA (GRID:grid.38142.3c) (ISNI:000000041936754X) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2632026833
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.